Questions posées lors d'un entretien d'embauche de Data Scientist chez Meta

Mis à jour le Dec 3, 2021

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J'ai postulé via un recruteur. J'ai passé un entretien chez Meta

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I was contact by a recruiter out of the blue telling me how they are really impressed by my CV. From first moment the interaction felt very impersonal and hurried up. Yes I know you are reaching out to a lot of candidates but let's not forget you are still talking to a human. I then got scheduled for an interview which was cancelled last moment apparently because the interviewer was sick. We then moved on to reschedule. Two weeks later I show up for the (remote) interview. The interviewer was late 5 minutes and when he showed he did not really seem to bother. We then swiftly began the process. I struggled a lot understanding the interviewer accent who seemed even lazy to clearly articulate properly his words. He was talking but you were getting a sense that he did not really care if he was understood. I completely zoned out, but I answered well the coding questions which I share below. We then moved on to the product related questions which were pretty basic and what you typically find on the web. I answered, but the whole process was feeling like a disconnect and I had a feeling we were both there just because we had too. To sum up - worse interview process ever.

Questions d'entretien
  • Given the following data: Table: searches Columns: date STRING date of the search, search_id INT the unique identifier of each search, user_id INT the unique identifier of the searcher, age_group STRING ('<30', '30-50', '50+'), search_query STRING the text of the search query Sample Rows: date | search_id | user_id | age_group | search_query -------------------------------------------------------------------- '2020-01-01' | 101 | 9991 | '<30' | 'justin bieber' '2020-01-01' | 102 | 9991 | '<30' | 'menlo park' '2020-01-01' | 103 | 5555 | '30-50' | 'john' '2020-01-01' | 104 | 1234 | '50+' | 'funny cats' Table: search_results Columns: date STRING date of the search action, search_id INT the unique identifier of each search, result_id INT the unique identifier of the result, result_type STRING (page, event, group, person, post, etc.), clicked BOOLEAN did the user click on the result? Sample Rows: date | search_id | result_id | result_type | clicked -------------------------------------------------------------------- '2020-01-01' | 101 | 1001 | 'page' | TRUE '2020-01-01' | 101 | 1002 | 'event' | FALSE '2020-01-01' | 101 | 1003 | 'event' | FALSE '2020-01-01' | 101 | 1004 | 'group' | FALSE Over the last 7 days, how many users made more than 10 searches? You notice that the number of users that clicked on a search result about a Facebook Event increased 10% week-over-week. How would you investigate? How do you decide if this is a good thing or a bad thing? The Events team wants to up-rank Events such that they show up higher in Search. How would you determine if this is a good idea or not?
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Call with recruiter discussed background and easy SQL quiz First-round with Data Scientist mostly technical SQL and Case Study Another round of SQL, Python, and Case Study. Smooth communication great portal

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Contacted by recruiter, initial screen, followed by tech screen. Initial phone call was 15 mins asking about previous experience and education. Was also told about next steps and remaining process.

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Recruiter reached out and scheduled first round of 1hr interview. The first round interview included a product analytics part (30 min) and a SQL coding part (30 min). Then I got to ask the interviewer questions about the company.

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Technical round has some Python questions. Can be tricky but the interviewer really try to help you to pass through the process by giving hints and providing guidance. SQL part should be fine as long as you know all the basics.

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had a technical phone screen and virtual onsite. from resume submission, the whole process took around one month. get a response from hr two days after the phone screen and a week after the virtual on-site.

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They first asked about my research experience and then moved to several product and behavioral questions. They asked questions like 'how to identify close friends on social media?' I didn't get through it, so I have nothing else to share here.

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  • How to identify close friends on social media?
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0) Submit resume 1) call with recruiter Information about recruiting process and the role Behavioral questions basic questions about SQL. Short answer 5 questions. 2) 30min interview Product case SQL programming 3) 30min interview (this is the final interview) Product case Statistical questions

Questions d'entretien
  • 1) call with recruiter Behavioral questions basic questions about SQL 2) 30min interview Product case SQL programming 3) 30min interview Product case Statistical questions
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Prescreen for intern Basic questions like rate location, past project, AB testing, impact of the project. Metric question how do you determine who is the best friend max of 5 metrics

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  • Basic questions like rate location, past project, AB testing, impact of the project. Metric question how do you determine who is the best friend max of 5 metrics
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J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez Meta en Nov 2021

Entretien

Phone screening round and then a final interview consisting of several rounds. Final round consisted of technical and behaviorial questions. Meet with team members and program managers. Guided by Human Resources professional.

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